iGEM Toronto

Life is engineerable

University of Toronto's iGEM team

We apply synthetic biology to tackle pressing problems, and train the next generation of scientists to engineer these futures.

01The team

What we do

Synthetic biology treats a living cell as something you can engineer. Give the cell new genetic instructions, and it can do a job it never evolved to do. Every winter, our team selects a global problem and spends the year trying to solve it — designing genetic constructs, modeling the outcomes, and testing the results. In November, we present our work at the iGEM Grand Jamboree, competing with teams from all around the world.

The research is real...

Past teams have tackled antibiotic resistance, landfill emissions, invasive tree diseases, contaminated mine tailings, and industrial plastic waste. Our work produces tangible results, with members having gone on to publish their research or spin out their projects into startups.

so is the training

Most members arrive with little to no research experience, but leave as confident scientists who have completed the full cycle of designing, building, and testing. Whether they move into computational modeling or wet lab research, the skills they build here form the foundation of their careers.

022026 season

PetaBite

Nature has already evolved enzymes for almost every condition on Earth. This year we built a workflow to find the ones that eat PET plastic at room temperature, so wastewater plants could use them without heating anything.

307M
Enzyme sequences

PETadex: putative plastic-degrading enzymes recovered from 27.3 million public sequencing datasets, up from 495 known before.

2
New assays

Copper-release biosensor and selection assays in E. coli that read out PET degradation at high throughput.

$204
Per bioreactor

An open-source Arduino bioreactor with temperature control, OD600 readings and stirring, built to run in parallel.

Project promotion video

Two minutes. The pitch for a general audience, made by Outreach.

Team presentation

Fourteen minutes. The Jamboree presentation: data, model, assays, bioreactor and results.

Activity data from the assays and the bioreactor feed back into the model, so each round of testing improves the next round of candidates.The season in brief.

21
Teams since 2005
485
People on the team
6
Gold medals
2
Top 10 finishes

In practice

Bench work, teaching, outreach, the Jamboree

Two decades of it, recovered from the team's own archive and browsable by year or category.

Explore the gallery

03Track record

Every team since 2005

A different problem every year, including the years the record is incomplete. Select a year for the short version, then open it for the project, the awards and the photographs that survive.

21
Seasons entered
632
Member-years
485
Alumni
06
Gold medals
Season in progressBioremediation66 members

PetaBite — room-temperature PET-degrading enzymes mined from the Logan petabase index

Searching the Logan petabase index for PET-degrading enzymes that work at room temperature: a 307-million-sequence catalogue, two new high-throughput assays and an open-source bioreactor.

Photographs

All 78
Team members at the PetaScale booth in the AI & machine learning startup hall — Web Summit VancouverTeam accepts its Great Canadian Meetup award, McMaster University, 8–9 August 2026 — second place overall, with Best Engineering Approach and Best Experimental EvidenceWet-lab subgroup members in the teaching lab with culture bottles, June 2026

04The divisions

Who we are

Wet lab, dry lab, hardware, human practices, outreach, venture and web. You don't need a biology degree to make an impact here, and a lot of the team does not have one. Select a slice to learn more about that division.

All divisions

Applications open every January

Whether you pipette, code, build or write, there is a place for you on the team. Join the mailing list and you will be the first to know when recruitment opens.

Join the Mailing List